Linear parameter estimation and predictive constrained control of wiener/hammerstein systems

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 16, 2003, Pages 345-350

  Latawiec, Krzysztof J ^a   Marciak, Czeslaw ^a   Rojek, Ryszard ^a   Oliveira, Gustavo H C ^b  

^a UNIVERSITY OF OPOLE   (Poland)

^b PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

Adaptive control; adaptive systems; least squares estimation; nonlinear control; nonlinear models; predictive control; time varying systems

Indexed keywords

ADAPTIVE SYSTEMS; MODEL PREDICTIVE CONTROL; NONLINEAR ANALYSIS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; TIME VARYING CONTROL SYSTEMS; TIME VARYING SYSTEMS;

ADAPTIVE CONTROL; LEAST SQUARES ESTIMATION; NON LINEAR CONTROL; NON-LINEAR MODEL; PREDICTIVE CONTROL;

ADAPTIVE CONTROL SYSTEMS;

EID: 53549101798     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)34785-7     Document Type: Conference Paper

References (22)

1. E.-W. Bai An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems Automatica 34 1998 333 338
2. J. Bokor, P. Heuberger, B. Niness, T.O. e Silva, P. Van den Hof, and B. Wahlberg Modelling and identification with orthogonal basis functions Proc. Preconference Workshop. 14th IFAC World Congress Beijing, P.R. China 1999
3. A. Garulli, L. Giarre, and G. Zappa Identification of approximated Hammerstein models in a worst-case setting IEEE Trans. Automat. Contr 47 2002 2046 2050
4. W. Greblicki Nonparametric approach to Wiener system identification IEEE Trans. Circuits and Systems 44 1997 538 545
5. W. Greblicki Stochastic approximation in nonparametric identification of Hammerstein systems IEEE Trans. Automat. Contr 47 2002 1800 1810
6. Z. Hasiewicz Hammerstein system identification by the Haar multiresolution approximation Int. J. Adapt. Contr. and Signal Processing 13 1999 191 217
7. A. Janczak On identification of Wiener systems based on a modified serial-parallel model Proc. European Control Conference ECC 2001 Porto, Portugal 2001 1852 1857
8. A. Kalafatis, N. Arifin, L. Wang, and W.R. Cluett A new approach to the identification of pH processes based on the Wiener model Chemical Engineering Science 50 1995 3693 3701
9. K.J. Latawice Extended horizon adaptive model algorithmic control Proc. 11th IFAC Symp. on System Identification (SYSID'97) Kitakyushu, Japan 1997 297 302 1
10. K.J. Latawiec Towards robust adaptive least-squares parameter estimation with internal feedback Proc. IFAC Workshop on Adaptive Systems in Control and Signal Processing Glasgow, Scotland 1998 442 447
11. K.J. Latawiec, and R. Rojek EHMAC - a new simple tool for robust linear multivariable control Int. J. of Applied Mathematics and Computer Science 10 2000 101 116
12. K.J. Latawiec, C. Marciak, R. Rojek, and G.H.C. Oliveira Modeling and parameter estimation of open-loop unstable systems by means of orthonormal basis functions To be presented at the 9th IEEE MMAR Conference Miedzyzdroje. Poland 2003
13. K.J. Latawiec, R. Rojek, G.H.C. Oliveira, and C. Marciak Adaptive parameter estimation of OBF models Proc. 6th MMAR COnference Miedzyzdroje, Poland 2000 927 932
14. K.J. Latawiec, R. Rojek, C. Marciak, and G.H.C. Oliveira Robust adaptive OBF-based constrained EHMAC: simple and effective Proc. 5th World Multiconference on Systemics, Cybernetics and Informatics Orlando, Florida 2001 265 270 IX
15. c. Marciak, K.J. Latawiec, R. Rojek, and G.H.C. Oliveira Adaptive least-squares parameter estimation of OBF-based Wiener models Proc. 7th IEEE MMAR Conference Miedzyzdroje, Poland 2001 965 999 2
16. B. Ninness, and S. Gibson Quantifying the accuracy of Hammerstein model estimation Automatica 38 2002 2037 2051
17. S.N. Norquay, A. Palazoglu, and J.A. Romagnoli Application of Wiener model predictive control (WMPC) to a pH neutralization experiment IEEE Trans. on Automatic Control 7 1999 437 445
18. G.H.C. Oliveira, and K.J. Latawiec Methodology for identification and control of nonlinear systems using Laguerre-Volterra models Proc. 7th IEEE MMAR Conference Miedzyzdroje, Poland 2001 921 926 2
19. R.K. Pearson, and M. Pottman Gray-box identification of block-oriented nonlinear models Journal of Process Control 10 2000 301 315
20. T. Wigren Recursive prediction error identification algorithm using the nonlinear Wiener model Automatica 29 1011-1025 1993
21. H. Zhao, J. Guiver, R. Neelakantan, and L.T. Biegler A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model Control Engineering Practice 9 2001 125 133
22. Y. Zhu Identification of Hammerstein models for control using ASYM Int. Journal of Control 73 2000 1692 1702